Demand-Driven Forecasting: A Structured Approach to Forecasting

Chase, Charles W.

ISBN 10: 0470415029 / ISBN 13: 9780470415023

Published by Wiley, 2009

About this Item

Good condition hardback. Pages are clean and unmarked. Minor edgewear and rubbing. Dust jacket is in great shape. Tulsa's largest used bookstore. Located on South Mingo Road since 1991. No-hassle return policy if not completely satisfied.

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Bibliographic Details

• Title: Demand-Driven Forecasting: A Structured Approach to Forecasting
• Publisher: Wiley
• Publication Date: 2009
• Language: English
• ISBN 10: 0470415029
• ISBN 13: 9780470415023
• Binding: hardcover
• Condition: Good

About this title

Synopsis

Praise for Demand-Driven Forecasting

A Structured Approach to Forecasting

"There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best demand data sources, effectively apply appropriate statistical forecasting methods, and properly design efficient demand planning processes. In Demand-Driven Forecasting, Chase fills this void in the literature and provides the reader with concise explanations for advanced statistical methods and credible business advice for improving ways to predict demand for products and services. Whether you are an experienced professional forecasting manager, or a novice forecast analyst, you will find this book a valuable resource for your professional development."
—Daniel Kiely, Senior Manager, Epidemiology, Forecasting & Analytics, Celgene Corporation

"Charlie Chase has given forecasters a clear, responsible approach for ending the timeless tug of war between the need for 'forecast rigor' and the call for greater inclusion of 'client judgment.' By advancing the use of 'domain knowledge' and hypothesis testing to enrich base-case forecasts, he has empowered professional forecasters to step up and impact their companies' business results favorably and profoundly, all the while enhancing the organizational stature of forecasters broadly."
—Bob Woodard, Vice President, Global Consumer and Customer Insights, Campbell Soup Company

About the Author

Charles W. Chase, Jr., is Chief Industry Consultant and Subject Matter Expert, SAS Institute Inc., where he is the principal architect and strategist for delivering demand planning and forecasting solutions to improve SAS customers' supply chain efficiencies. He has more than twenty-six years of experience in the consumer packaged goods industry, and is an expert in sales forecasting, market response modeling, econometrics, and supply chain management.